A spatial co-location pattern represents a subset of features whose instances are prevalently located together in geographic space. Although many algorithms mining have been proposed, there still some problems: 1) they miss meaningful patterns (e.g., {Ganoderma_lucidumnew, maple_treedead} and {water_hyacinthnew(increase), algaedead(decrease)}), get the wrong conclusion that two or more increase...

This paper describes a method to localise all those areas which may constitute the date field in an Indian handwritten document. Spatial patterns of the date field are studied from various handwritten documents and an algorithm is developed through statistical analysis to identify those sets of connected components which may constitute the date. Common date patterns followed in India are consid...

Traditional kernel methods for estimating the spatially-varying density of points in a spatial point pattern may exhibit unrealistic artefacts, addition to familiar problems bias and over- or under-smoothing. Performance can be improved by using diffusion smoothing, which smoothing is heat on domain. This paper develops into practical statistical methodology two-dimensional data. We clarify adv...

Ecology, biogeography and conservation biology, among other disciplines, often rely on species identity, distribution abundance to perceive explain patterns in space time. Yet, are not independent units the way they interact with their environment. Species perform similar roles networks ecosystems, at least partial redundancy or difference of might co-existence, competitive exclusion reflected ...